class_docstr: This class enables adjusting the momentum in batch normalization layer.
  
  .. note::
      It's an experimental feature and should be used with caution.
code: def __repr__(self):
      return "{}(iteration_based={}, inital_momentum={}, final_momentum={}, anneal_method={})".format(
          self.__class__.__name__,
          self.is_iteration_based,
          self.momentum,
          self.min_momentum,
          self.anneal_method,
      )
  
file_path: ml-cvnets/cvnets/layers/normalization_layers.py
imports: import math
  from torch import nn
  from cvnets.layers.normalization import NORM_LAYER_CLS, build_normalization_layer
  from utils import logger
label_desc: Use image node_id 5 for calling the AdjustBatchNormMomentum obj's underlying member method code with example usage: obj.__repr__() and returns: str